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Computational Genomics

Posted by: National Institutes of Health (NIH)

Posted date: 2018-Dec-20

Location: USA

Position Description:

The Laboratory of Cellular and Developmental Biology (LCDB) at NIDDK is a six-laboratory group with wide interests in applying computational techniques to answer questions related to differentiation and development by studying model organism and human genomics. We utilize a combination of wet bench and computational methods, in particular involving the analysis of next-generation sequencing samples from RNA-seq, ChIP-seq, 4C-seq, and numerous other techniques. The computational team at LCDB actively develops and maintains open-source software and pipelines for high-throughput analysis of these experiments, with the aim of improving the quality and rigor of computational genomics.

We seek a computational biologist with a strong interest in collaborative interactions with biologists and a desire to work with large data sets generated by a wide range of next generation sequencing techniques. The successful candidate will spend about half of their time working with biologists on a wide range of models and experiments, helping with experimental design, analyzing raw sequence data, assessing data quality, assisting biologists with interpretation, manuscript preparation, and figure design. The other half of their time will be dedicated to independent software and methods development that makes best use of the wide range of data prepared by LCDB. The exact nature of that independent work will be customized to the applicant’s background and interest.

Qualifications:

masters or PhD in bioinformatics, biostatistics, biology, CS, mathematics, or related field

fluency in at least one of: R, Python, C++, Perl, or related language

experience with Linux: both general use of CLI and software development

undergraduate-level familiarity with genetics/genomics

To Apply:

Interested individuals should send a cover letter including relevant experience, curriculum vitae with list of publications, and the names and contact information of three references via e-mail to Dr. Elissa Lei (leielissaniddk.nih.gov). Applications will be reviewed upon receipt, and selected candidates will be contacted for a personal interview.

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